Instructions to use Girinath11/recursive-language-model-198m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Girinath11/recursive-language-model-198m with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Girinath11/recursive-language-model-198m", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Girinath11/recursive-language-model-198m", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Girinath11/recursive-language-model-198m with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Girinath11/recursive-language-model-198m"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Girinath11/recursive-language-model-198m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Girinath11/recursive-language-model-198m

SGLang

How to use Girinath11/recursive-language-model-198m with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Girinath11/recursive-language-model-198m" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Girinath11/recursive-language-model-198m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Girinath11/recursive-language-model-198m" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Girinath11/recursive-language-model-198m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Girinath11/recursive-language-model-198m with Docker Model Runner:
```
docker model run hf.co/Girinath11/recursive-language-model-198m
```

Girinath11 commited on Mar 8

Commit

408acd8

verified ·

1 Parent(s): fdef36a

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Files changed (4) hide show

info.json +8 -0
model.safetensors +3 -0
tokenizer (1).json +0 -0
tokenizer_config (3).json +16 -0

info.json ADDED Viewed

	@@ -0,0 +1,8 @@

+{
+  "epoch": 2,
+  "loss": 3.3067839131116865,
+  "val_loss": 2.7326207796732587,
+  "ppl": 15.373123841432824,
+  "params": 198464259,
+  "ts": "2026-03-08 22:13:11"
+}

model.safetensors ADDED Viewed

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+size 793878180

tokenizer (1).json ADDED Viewed

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tokenizer_config (3).json ADDED Viewed

	@@ -0,0 +1,16 @@

+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|user|>",
+    "<|assistant|>"
+  ],
+  "is_local": false,
+  "model_max_length": 1024,
+  "pad_token": "<|pad|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}